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Anomaly-based intrusion detection systems are essential defenses against cybersecurity threats because they can identify anomalies in current activities. However, these systems have difficulties providing entity processing independence…

Formal Languages and Automata Theory · Computer Science 2022-07-25 El Jabri Chaymae , Frappier Marc , Ecarot Thibaud , Tardif Pierre-Martin

Anomaly detection is a significant problem faced in several research areas. Detecting and correctly classifying something unseen as anomalous is a challenging problem that has been tackled in many different manners over the years.…

Machine Learning · Computer Science 2021-09-15 Federico Di Mattia , Paolo Galeone , Michele De Simoni , Emanuele Ghelfi

The Internet has become a prime subject to security attacks and intrusions by attackers. These attacks can lead to system malfunction, network breakdown, data corruption or theft. A network intrusion detection system (IDS) is a tool used…

Cryptography and Security · Computer Science 2022-03-14 Tanwir Ahmad , Dragos Truscan , Juri Vain , Ivan Porres

Connected cars are susceptible to cyberattacks. Security and safety of future vehicles highly depend on a holistic protection of automotive components, of which the time-sensitive backbone network takes a significant role. These onboard…

Networking and Internet Architecture · Computer Science 2024-05-03 Philipp Meyer , Timo Häckel , Teresa Lübeck , Franz Korf , Thomas C. Schmidt

This paper describes the architecture and the fundamental methodology of an anomaly detector, which by continuously monitoring Simple Network Management Protocol data and by processing it as complex-events, is able to timely recognize…

Cryptography and Security · Computer Science 2021-06-29 Massimiliano Leone Itria , Enrico Schiavone , Nicola Nostro

Unmanned Aerial Vehicles (UAVs) are becoming more dependent on mission success than ever. Due to their increase in demand, addressing security vulnerabilities to both UAVs and the Flying Ad-hoc Networks (FANET) they form is more important…

Networking and Internet Architecture · Computer Science 2023-06-12 Jordan Quinn , Safdar Hussain Bouk

Intrusion detection is a traditional practice of security experts, however, there are several issues which still need to be tackled. Therefore, in this paper, after highlighting these issues, we present an architecture for a hybrid…

Cryptography and Security · Computer Science 2023-10-27 Lynda Boukela , Gongxuan Zhang , Meziane Yacoub , Samia Bouzefrane

Cyber-physical systems (CPS) are being increasingly utilized for critical applications. CPS combines sensing and computing elements, often having multi-layer designs with networking, computational, and physical interfaces, which provide…

Cryptography and Security · Computer Science 2025-08-25 Julia Boone , Fatemeh Afghah

Internet has played a vital role in this modern world, the possibilities and opportunities offered are limitless. Despite all the hype, Internet services are liable to intrusion attack that could tamper the confidentiality and integrity of…

Cryptography and Security · Computer Science 2009-06-23 M. A. Faizal , M. Mohd Zaki , S. Shahrin , Y. Robiah , S. Siti Rahayu , B. Nazrulazhar

Through continuous observation and modeling of normal behavior in networks, Anomaly-based Network Intrusion Detection System (A-NIDS) offers a way to find possible threats via deviation from the normal model. The analysis of network traffic…

Networking and Internet Architecture · Computer Science 2019-06-13 Nguyen Thanh Van , Tran Ngoc Thinh , Le Thanh Sach

This survey systematizes the evolution of network intrusion detection systems (NIDS), from conventional methods such as signature-based and neural network (NN)-based approaches to recent integrations with large language models (LLMs). It…

Cryptography and Security · Computer Science 2025-11-11 Yaokai Feng , Kouichi Sakurai

Radar systems are mainly used for tracking aircraft, missiles, satellites, and watercraft. In many cases, information regarding the objects detected by the radar system is sent to, and used by, a peripheral consuming system, such as a…

Cryptography and Security · Computer Science 2021-06-15 Shai Cohen , Efrat Levy , Avi Shaked , Tair Cohen , Yuval Elovici , Asaf Shabtai

Hacking and false data injection from adversaries can threaten power grids' everyday operations and cause significant economic loss. Anomaly detection in power grids aims to detect and discriminate anomalies caused by cyber attacks against…

Machine Learning · Computer Science 2023-03-14 Xijuan Sun , Di Wu , Arnaud Zinflou , Benoit Boulet

Cybersecurity attacks in Cloud data centres are increasing alongside the growth of the Cloud services market. Existing research proposes a number of anomaly detection systems for detecting such attacks. However, these systems encounter a…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-13 Sakil Barbhuiya , Zafeirios Papazachos , Peter Kilpatrick , Dimitrios S. Nikolopoulos

Anomaly detection is an important problem that has been well-studied within diverse research areas and application domains. The aim of this survey is two-fold, firstly we present a structured and comprehensive overview of research methods…

Machine Learning · Computer Science 2019-01-24 Raghavendra Chalapathy , Sanjay Chawla

Technology evolves quickly. Low-cost and ready-to-connect devices are designed to provide new services and applications. Smart grids or smart healthcare systems are some examples of these applications, all of which are in the context of…

Cryptography and Security · Computer Science 2021-12-07 Roberto Magán-Carrión , José Camacho , Gabriel Maciá-Fernández , Ángel Ruíz-Zafra

Intrusion detection is one of the important mechanisms that provide computer networks security. Due to an increase in attacks and growing dependence upon other fields such as medicine, commerce, and engineering, offering services over a…

Machine Learning · Computer Science 2022-06-14 Siamak Parhizkari , Mohammad Bagher Menhaj , Atena Sajedin

The increasing connectivity of data and cyber-physical systems has resulted in a growing number of cyber-attacks. Real-time detection of such attacks, through the identification of anomalous activity, is required so that mitigation and…

Machine Learning · Statistics 2021-04-23 Raisa Dzhamtyrova , Carsten Maple

Social media anomaly detection is of critical importance to prevent malicious activities such as bullying, terrorist attack planning, and fraud information dissemination. With the recent popularity of social media, new types of anomalous…

Machine Learning · Computer Science 2016-02-19 Rose Yu , Huida Qiu , Zhen Wen , Ching-Yung Lin , Yan Liu

One of the most critical tasks for network administrator is to ensure system uptime and availability. For the network security, anomaly detection systems, along with firewalls and intrusion prevention systems are the must-have tools. So far…

Networking and Internet Architecture · Computer Science 2010-07-09 Huy Nguyen , Deokjai Choi
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